APPLICATION OF MULTIVARIATE TECHNIQUES FOR SELECTION OF COTTON GENOTYPES USING BIOMETRICAL CHARACTERS
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Date
2021
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DEPARTMENT OF AGICULTURAL SATISTICS B. A. COLLEGE OF AGRICULTURE ANAND AGRICULTURAL UNIVERSITY ANAND
Abstract
The data on eleven different biometrical characters of thirty genotypes of cotton
(Gossypium hirsutum and Gossypium barbadense) were collected from RRS, AAU,
Anand during kharif season of the year 2020 for the present study entitled “Application
of multivariate techniques for selection of cotton genotypes using biometrical
characters”. The experiment was conducted in randomized complete block design with
three replications. The data on biometrical characters days to flowering, days to 50%
boll bursting, plant height, number of monopodia per plant, number of sympodia per
plant, number of bolls per plant, boll weight, ginning percentage, seed index, lint index
and seed cotton yield per plant were subjected to ANOVA, multiple regression,
phenotypic correlation, path analysis, principal component analysis, factor analysis and
selection index. The present study was carried out to study the multivariate techniques
for selection of cotton genotypes and to assess the biometrical characters for selection
of genotypes of cotton.